EP3059699A3 - Neural network training method and apparatus, and recognition method and apparatus - Google Patents
Neural network training method and apparatus, and recognition method and apparatus Download PDFInfo
- Publication number
- EP3059699A3 EP3059699A3 EP15191549.3A EP15191549A EP3059699A3 EP 3059699 A3 EP3059699 A3 EP 3059699A3 EP 15191549 A EP15191549 A EP 15191549A EP 3059699 A3 EP3059699 A3 EP 3059699A3
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- neural network
- network training
- recognition method
- training method
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- 238000013528 artificial neural network Methods 0.000 title abstract 5
- 238000000034 method Methods 0.000 title abstract 4
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/16—Speech classification or search using artificial neural networks
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/27—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
- G10L25/30—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique using neural networks
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Neurology (AREA)
- Medical Informatics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Image Analysis (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Abstract
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020150025077A KR102449837B1 (en) | 2015-02-23 | 2015-02-23 | Neural network training method and apparatus, and recognizing method |
Publications (3)
Publication Number | Publication Date |
---|---|
EP3059699A2 EP3059699A2 (en) | 2016-08-24 |
EP3059699A3 true EP3059699A3 (en) | 2016-12-28 |
EP3059699B1 EP3059699B1 (en) | 2020-02-26 |
Family
ID=54366003
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP15191549.3A Active EP3059699B1 (en) | 2015-02-23 | 2015-10-27 | Neural network training method and recognition apparatus |
Country Status (5)
Country | Link |
---|---|
US (1) | US20160247064A1 (en) |
EP (1) | EP3059699B1 (en) |
JP (1) | JP6614981B2 (en) |
KR (1) | KR102449837B1 (en) |
CN (1) | CN105913121B (en) |
Families Citing this family (41)
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US10013652B2 (en) * | 2015-04-29 | 2018-07-03 | Nuance Communications, Inc. | Fast deep neural network feature transformation via optimized memory bandwidth utilization |
JP6637078B2 (en) * | 2016-02-02 | 2020-01-29 | 日本電信電話株式会社 | Acoustic model learning device, acoustic model learning method and program |
WO2018063840A1 (en) * | 2016-09-28 | 2018-04-05 | D5A1 Llc; | Learning coach for machine learning system |
US10565305B2 (en) | 2016-11-18 | 2020-02-18 | Salesforce.Com, Inc. | Adaptive attention model for image captioning |
KR101886534B1 (en) * | 2016-12-16 | 2018-08-09 | 아주대학교산학협력단 | System and method for composing music by using artificial intelligence |
KR102578124B1 (en) * | 2016-12-16 | 2023-09-14 | 에스케이하이닉스 주식회사 | Apparatus and method for regularizating of neural network device |
US10241684B2 (en) * | 2017-01-12 | 2019-03-26 | Samsung Electronics Co., Ltd | System and method for higher order long short-term memory (LSTM) network |
KR101891778B1 (en) * | 2017-04-07 | 2018-08-24 | 네이버 주식회사 | Method and Apparatus for determining highlight section of a sound source, and computer program for executing the method |
KR102077804B1 (en) * | 2017-04-26 | 2020-04-07 | 김정희 | Method and system for pre-processing machine learning data |
WO2018212599A1 (en) * | 2017-05-17 | 2018-11-22 | Samsung Electronics Co., Ltd. | Super-resolution processing method for moving image and image processing apparatus therefor |
WO2019005611A1 (en) * | 2017-06-26 | 2019-01-03 | D5Ai Llc | Selective training for decorrelation of errors |
WO2019060298A1 (en) | 2017-09-19 | 2019-03-28 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement |
WO2019098780A1 (en) * | 2017-11-17 | 2019-05-23 | 안영샘 | Diagnostic image conversion apparatus, diagnostic image conversion module generating apparatus, diagnostic image recording apparatus, diagnostic image conversion method, diagnostic image conversion module generating method, diagnostic image recording method, and computer readable recording medium |
KR102057219B1 (en) * | 2017-11-21 | 2019-12-18 | 연세대학교 산학협력단 | Apparatus Detecting I/O Data Saturation and Method thereof |
CN111386535A (en) * | 2017-11-30 | 2020-07-07 | 语享路有限责任公司 | Method and device for conversion |
US11717686B2 (en) | 2017-12-04 | 2023-08-08 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to facilitate learning and performance |
CN108197488B (en) * | 2017-12-25 | 2020-04-14 | 大国创新智能科技(东莞)有限公司 | Information hiding and extracting method and system based on big data and neural network |
US11318277B2 (en) | 2017-12-31 | 2022-05-03 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
JPWO2019135274A1 (en) * | 2018-01-04 | 2020-12-17 | 株式会社Abeja | Data processing system with neural network |
JP6574004B2 (en) | 2018-01-25 | 2019-09-11 | 株式会社モルフォ | Calculation method determination system, calculation method determination device, processing device, calculation method determination method, processing method, calculation method determination program, and processing program |
US10884769B2 (en) * | 2018-02-17 | 2021-01-05 | Adobe Inc. | Photo-editing application recommendations |
US11036811B2 (en) | 2018-03-16 | 2021-06-15 | Adobe Inc. | Categorical data transformation and clustering for machine learning using data repository systems |
KR102622349B1 (en) | 2018-04-02 | 2024-01-08 | 삼성전자주식회사 | Electronic device and control method thereof |
US11364361B2 (en) | 2018-04-20 | 2022-06-21 | Neuroenhancement Lab, LLC | System and method for inducing sleep by transplanting mental states |
JP7111343B2 (en) * | 2018-04-25 | 2022-08-02 | 株式会社Daisy | Information processing device, information processing method, and information processing program |
KR102310490B1 (en) | 2018-04-27 | 2021-10-08 | 한국과학기술원 | The design of GRU-based cell structure robust to missing value and noise of time-series data in recurrent neural network |
KR102177728B1 (en) | 2018-05-25 | 2020-11-12 | 서강대학교 산학협력단 | Data augmentation method and apparatus using convolution neural network |
WO2020056418A1 (en) | 2018-09-14 | 2020-03-19 | Neuroenhancement Lab, LLC | System and method of improving sleep |
WO2020121527A1 (en) * | 2018-12-14 | 2020-06-18 | 三菱電機株式会社 | Learning identification device, learning identification method, and learning identification program |
CN109918883B (en) * | 2019-02-22 | 2022-06-10 | 袁精侠 | Identity verification method of biological characteristics based on hand-drawn track |
US11244227B2 (en) * | 2019-03-01 | 2022-02-08 | International Business Machines Corporation | Discrete feature representation with class priority |
US11786694B2 (en) | 2019-05-24 | 2023-10-17 | NeuroLight, Inc. | Device, method, and app for facilitating sleep |
KR102136195B1 (en) * | 2019-09-23 | 2020-07-21 | (주)아리네트웍스 | Prediction system and method for efficiently supplying power to a plurality of customers and selling the remaining power |
US11922316B2 (en) | 2019-10-15 | 2024-03-05 | Lg Electronics Inc. | Training a neural network using periodic sampling over model weights |
KR102114267B1 (en) * | 2019-12-10 | 2020-05-22 | 셀렉트스타 주식회사 | Method for filtering a similar text based on deep learning and apparatus using the same |
KR102336815B1 (en) * | 2020-03-17 | 2021-12-08 | 한국과학기술원 | Electronic device for resource-efficient object recognition using artificial neural network with long-range connection and operating method thereof |
JP7287680B2 (en) * | 2020-06-29 | 2023-06-06 | Necプラットフォームズ株式会社 | Learning device, communication system, learning method and learning program |
KR102390326B1 (en) * | 2020-09-15 | 2022-04-26 | 주식회사 뷰노 | Deep neural network pre-training method for electrocardiogram data classification |
KR102398318B1 (en) * | 2021-07-09 | 2022-05-16 | (주)뤼이드 | Method for, device for, and system for evaluating learning ability |
KR102616302B1 (en) * | 2023-08-11 | 2023-12-21 | 주식회사 휴이노에임 | Method and system for managing artificial neural networks to estimate additional diseases not previously trained on |
KR102718131B1 (en) | 2023-11-13 | 2024-10-15 | 중앙대학교 산학협력단 | Apparatus and method for continuous learning of neural networks |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN103729623B (en) * | 2013-12-25 | 2016-08-31 | 南京农业大学 | A kind of method for determining poultry electric shock swooning effect |
CN104063719B (en) * | 2014-06-27 | 2018-01-26 | 深圳市赛为智能股份有限公司 | Pedestrian detection method and device based on depth convolutional network |
CN104361548B (en) * | 2014-10-28 | 2017-10-20 | 河南师范大学 | Image watermark insertion and extracting method based on BP neural network digital image compression |
-
2015
- 2015-02-23 KR KR1020150025077A patent/KR102449837B1/en active IP Right Grant
- 2015-08-24 US US14/833,285 patent/US20160247064A1/en not_active Abandoned
- 2015-10-27 EP EP15191549.3A patent/EP3059699B1/en active Active
- 2015-11-20 CN CN201510810225.8A patent/CN105913121B/en active Active
-
2016
- 2016-01-20 JP JP2016008732A patent/JP6614981B2/en active Active
Non-Patent Citations (4)
Title |
---|
GEOFFREY E HINTON ET AL: "Improving neural networks by preventing co-adaptation of feature detectors", ARXIV:1207.0580V1 [CS.NE], 3 July 2012 (2012-07-03), XP055112910, Retrieved from the Internet <URL:http://arxiv.org/abs/1207.0580v1> [retrieved on 20140408] * |
JAN KOUTNÍK ET AL: "A Clockwork RNN", PROCEEDINGS OF THE 31ST INTERNATIONAL CONFERENCE ON MACHINE LEARNING, vol. 32, 14 February 2014 (2014-02-14), pages 1863 - 1871, XP055289373 * |
PHAM VU ET AL: "Dropout Improves Recurrent Neural Networks for Handwriting Recognition", 2014 14TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION, IEEE, 1 September 2014 (2014-09-01), pages 285 - 290, XP032703488, ISSN: 2167-6445, ISBN: 978-1-4799-4335-7, [retrieved on 20141209], DOI: 10.1109/ICFHR.2014.55 * |
WOJCIECH ZAREMBA ET AL: "Recurrent Neural Network Regularization", 8 September 2014 (2014-09-08), XP055321161, Retrieved from the Internet <URL:https://arxiv.org/pdf/1409.2329v5.pdf> [retrieved on 20161121] * |
Also Published As
Publication number | Publication date |
---|---|
KR20160102690A (en) | 2016-08-31 |
CN105913121B (en) | 2021-08-10 |
JP2016157426A (en) | 2016-09-01 |
EP3059699B1 (en) | 2020-02-26 |
KR102449837B1 (en) | 2022-09-30 |
EP3059699A2 (en) | 2016-08-24 |
CN105913121A (en) | 2016-08-31 |
US20160247064A1 (en) | 2016-08-25 |
JP6614981B2 (en) | 2019-12-04 |
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